Salesforce Salesforce Certifications DATA-CLOUD-CONSULTANT Questions & Answers

• Question 21:

  How can a consultant modify attribute names to match a naming convention in Cloud File Storage targets?

  A. Use a formula field to update the field name in an activation.

  B. Update attribute names in the data stream configuration.

  C. Set preferred attribute names when configuring activation.

  D. Update field names in the data model object.

  Correct Answer: C

  A Cloud File Storage target is a type of data action target in Data Cloud that allows sending data to a cloud storage service such as Amazon S3 or Google Cloud Storage. When configuring an activation to a Cloud File Storage target, a consultant can modify the attribute names to match a naming convention by setting preferred attribute names in Data Cloud. Preferred attribute names are aliases that can be used to control the field names in the target file. They can be set for each attribute in the activation configuration, and they will override the default field names from the data model object. The other options are incorrect because they do not affect the field names in the target file. Using a formula field to update the field name in an activation will not change the field name, but only the field value. Updating attribute names in the data stream configuration will not affect the existing data lake objects or data model objects. Updating field names in the data model object will change the field names for all data sources and activations that use the object, which may not be desirable or consistent.

  References: Preferred Attribute Name, Create a Data Cloud Activation Target, Cloud File Storage Target

• Question 22:

  Northern Trail Outfitters uses B2C Commerce and is exploring implementing Data Cloud to get a unified view of its customers and all their order transactions.

  What should the consultant keep in mind with regard to historical data ingesting order data using the B2C Commerce Order Bundle?

  A. The B2C Commerce Order Bundle ingests 12 months of historical data.

  B. The B2C Commerce Order Bundle ingests 6 months of historical data.

  C. The B2C Commerce Order Bundle does not ingest any historical data and only ingests new orders from that point on.

  D. The B2C Commerce Order Bundle ingests 30 days of historical data.

  Correct Answer: C

  The B2C Commerce Order Bundle is a data bundle that creates a data stream to flow order data from a B2C Commerce instance to Data Cloud. However, this data bundle does not ingest any historical data and only ingests new orders from the time the data stream is created. Therefore, if a consultant wants to ingest historical order data, they need to use a different method, such as exporting the data from B2C Commerce and importing it to Data Cloud using a CSV file.

  References: Create a B2C Commerce Data Bundle Data Access and Export for B2C Commerce and Commerce Marketplace

• Question 23:

  A customer wants to create segments of users based on their Customer Lifetime Value.

  However, the source data that will be brought into Data Cloud does not include that key performance indicator (KPI).

  Which sequence of steps should the consultant follow to achieve this requirement?

  A. Ingest Data > Map Data to Data Model > Create Calculated Insight > Use in Segmentation

  B. Create Calculated Insight > Map Data to Data Model> Ingest Data > Use in Segmentation

  C. Create Calculated Insight > Ingest Data > Map Data to Data Model> Use in Segmentation

  D. Ingest Data > Create Calculated Insight > Map Data to Data Model > Use in Segmentation

  Correct Answer: A

  To create segments of users based on their Customer Lifetime Value (CLV), the sequence of steps that the consultant should follow is Ingest Data > Map Data to Data Model > Create Calculated Insight > Use in Segmentation. This is because the first step is to ingest the source data into Data Cloud using data streams1. The second step is to map the source data to the data model, which defines the structure and attributes of the data2. The third step is to create a calculated insight, which is a derived attribute that is computed based on the source or unified data3. In this case, the calculated insight would be the CLV, which can be calculated using a formula or a query based on the sales order data4. The fourth step is to use the calculated insight in segmentation, which is the process of creating groups of individuals or entities based on their attributes and behaviors. By using the CLV calculated insight, the consultant can segment the users by their predicted revenue from the lifespan of their relationship with the brand. The other options are incorrect because they do not follow the correct sequence of steps to achieve the requirement. Option B is incorrect because it is not possible to create a calculated insight before ingesting and mapping the data, as the calculated insight depends on the data model objects. Option C is incorrect because it is not possible to create a calculated insight before mapping the data, as the calculated insight depends on the data model objects. Option D is incorrect because it is not recommended to create a calculated insight before mapping the data, as the calculated insight may not reflect the correct data model structure and attributes. References: Data Streams Overview, Data Model Objects Overview, Calculated Insights Overview, Calculating Customer Lifetime Value (CLV) With Salesforce, [Segmentation Overview]

• Question 24:

  To import campaign members into a campaign in Salesforce CRM, a user wants to export the segment to Amazon S3. The resulting file needs to include the Salesforce CRM Campaign ID in the name.

  What are two ways to achieve this outcome? Choose 2 answers

  A. Include campaign identifier in the activation name.

  B. Hard code the campaign identifier as a new attribute in the campaign activation.

  C. Include campaign identifier in the filename specification.

  D. Include campaign identifier in the segment name.

  Correct Answer: AC

  The two ways to achieve this outcome are A and C. Include campaign identifier in the activation name and include campaign identifier in the filename specification. These two options allow the user to specify the Salesforce CRM Campaign ID in the name of the file that is exported to Amazon S3. The activation name and the filename specification are both configurable settings in the activation wizard, where the user can enter the campaign identifier as a text or a variable. The activation name is used as the prefix of the filename, and the filename specification is used as the suffix of the filename. For example, if the activation name is "Campaign_123" and the filename specification is "{segmentName}_{date}", the resulting file name will be "Campaign_123_SegmentA_2023-12-18.csv". This way, the user can easily identify the file that corresponds to the campaign and import it into Salesforce CRM.

  The other options are not correct. Option B is incorrect because hard coding the campaign identifier as a new attribute in the campaign activation is not possible. The campaign activation does not have any attributes, only settings. Option D is incorrect because including the campaign identifier in the segment name is not sufficient. The segment name is not used in the filename of the exported file, unless it is specified in the filename specification. Therefore, the user will not be able to see the campaign identifier in the file name.

• Question 25:

  During discovery, which feature should a consultant highlight for a customer who has multiple data sources and needs to match and reconcile data about individuals into a single unified profile?

  A. Data Cleansing

  B. Harmonization

  C. Data Consolidation

  D. Identity Resolution

  Correct Answer: D

  Identity resolution is the feature that allows Data Cloud to match and reconcile data about individuals from multiple data sources into a single unified profile. Identity resolution uses rulesets to define how source profiles are matched and

  consolidated based on common attributes, such as name, email, phone, or party identifier. Identity resolution enables Data Cloud to create a 360-degree view of each customer across different data sources and systems. The other options

  are not the best features to highlight for this customer need because:

  Data cleansing is the process of detecting and correcting errors or inconsistencies in data, such as duplicates, missing values, or invalid formats. Data cleansing can improve the quality and accuracy of data, but it does not match or reconcile

  data across different data sources.

  Harmonization is the process of standardizing and transforming data from different sources into a common format and structure. Harmonization can enable data integration and interoperability, but it does not match or reconcile data across

  different data sources.

  Data consolidation is the process of combining data from different sources into a single data set or system. Data consolidation can reduce data redundancy and complexity, but it does not match or reconcile data across different data

  sources.

  References:

  1: Data and Identity in Data Cloud | Salesforce Trailhead,

  2: Data Cloud Identiy Resolution | Salesforce AI Research,

  3: [Data Cleansing - Salesforce],

  4: [Harmonization - Salesforce],

  5: [Data Consolidation - Salesforce]

• Question 26:

  A consultant wants to build a new audience in Data Cloud.

  Which three criteria can the consultant include when building a segment? Choose 3 answers

  A. Direct attributes

  B. Data stream attributes

  C. Calculated Insights

  D. Related attributes

  E. Streaming insights

  Correct Answer: ACD

  A segment is a subset of individuals who meet certain criteria based on their attributes and behaviors. A consultant can use different types of criteria when building a segment in Data Cloud, such as:

  Direct attributes: These are attributes that describe the characteristics of an individual, such as name, email, gender, age, etc. These attributes are stored in the Profile data model object (DMO) and can be used to filter individuals based on

  their profile data.

  Calculated Insights: These are insights that perform calculations on data in a data space and store the results in a data extension. These insights can be used to segment individuals based on metrics or scores derived from their data, such as

  customer lifetime value, churn risk, loyalty tier, etc.

  Related attributes: These are attributes that describe the relationships of an individual with other DMOs, such as Email, Engagement, Order, Product, etc. These attributes can be used to segment individuals based on their interactions or

  transactions with different entities, such as email opens, clicks, purchases, etc.

  The other two options are not valid criteria for building a segment in Data Cloud. Data stream attributes are attributes that describe the streaming data that is ingested into Data Cloud from various sources, such as Marketing Cloud,

  Commerce Cloud, Service Cloud, etc. These attributes are not directly available for segmentation, but they can be transformed and stored in data extensions using streaming data transforms. Streaming insights are insights that analyze

  streaming data in real time and trigger actions based on predefined conditions. These insights are not used for segmentation, but for activation and personalization. References: Create a Segment in Data Cloud, Use Insights in Data Cloud,

  Data Cloud Data Model

• Question 27:

  What is the result of a segmentation criteria filtering on City | Is Equal To | 'San José'?

  A. Cities containing 'San José

  Correct Answer: D

  The result of a segmentation criteria filtering on City | Is Equal To | ‘San José

• Question 28:

  Northern Trail Outfitters (NTD) creates a calculated insight to compute recency, frequency, monetary {RFM) scores on its unified individuals. NTO then creates a segment based on these scores that it activates to a Marketing Cloud activation target.

  Which two actions are required when configuring the activation? Choose 2 answers

  A. Add additional attributes.

  B. Choose a segment.

  C. Select contact points.

  D. Add the calculated insight in the activation.

  Correct Answer: BC

  To configure an activation to a Marketing Cloud activation target, you need to choose a segment and select contact points. Choosing a segment allows you to specify which unified individuals you want to activate. Selecting contact points allows you to map the attributes from the segment to the fields in the Marketing Cloud data extension. You do not need to add additional attributes or add the calculated insight in the activation, as these are already part of the segment definition. References: Create a Marketing Cloud Activation Target; Types of Data Targets in Data Cloud

• Question 29:

  A consultant is discussing the benefits of Data Cloud with a customer that has multiple disjointed data sources.

  Which two functional areas should the consultant highlight in relation to managing customer data? Choose 2 answers

  A. Data Harmonization

  B. Unified Profiles

  C. Master Data Management

  D. Data Marketplace

  Correct Answer: AB

  Data Cloud is an open and extensible data platform that enables smarter, more efficient AI with secure access to first-party and industry data1. Two functional areas that the consultant should highlight in relation to managing customer data

  are:

  Data Harmonization: Data Cloud harmonizes data from multiple sources and formats into a common schema, enabling a single source of truth for customer data1. Data Cloud also applies data quality rules and transformations to ensure data

  accuracy and consistency.

  Unified Profiles: Data Cloud creates unified profiles of customers and prospects by linking data across different identifiers, such as email, phone, cookie, and device ID1. Unified profiles provide a holistic view of customer behavior,

  preferences, and interactions across channels and touchpoints. The other options are not correct because:

  Master Data Management: Master Data Management (MDM) is a process of creating and maintaining a single, consistent, and trusted source of master data, such as product, customer, supplier, or location data. Data Cloud does not provide

  MDM functionality, but it can integrate with MDM solutions to enrich customer data.

  Data Marketplace: Data Marketplace is a feature of Data Cloud that allows users to discover, access, and activate data from third-party providers, such as demographic, behavioral, and intent data. Data Marketplace is not a functional area

  related to managing customer data, but rather a source of external data that can enhance customer data.

  References:

  Salesforce Data Cloud

  [Data Harmonization for Data Cloud]

  [Unified Profiles for Data Cloud]

  [What is Master Data Management?]

  [Integrate Data Cloud with Master Data Management]

  [Data Marketplace for Data Cloud]

• Question 30:

  During a privacy law discussion with a customer, the customer indicates they need to honor requests for the right to be forgotten. The consultant determines that Consent API will solve this business need.

  Which two considerations should the consultant inform the customer about? Choose 2 answers

  A. Data deletion requests are reprocessed at 30, 60, and 90 days.

  B. Data deletion requests are processed within 1 hour.

  C. Data deletion requests are submitted for Individual profiles.

  D. Data deletion requests submitted to Data Cloud are passed to all connected Salesforce clouds.

  Correct Answer: CD

  When advising a customer about using the Consent API in Salesforce to comply with requests for the right to be forgotten, the consultant should focus on two primary considerations:

  Data deletion requests are submitted for Individual profiles (Answer C): The Consent API in Salesforce is designed to handle data deletion requests specifically for individual profiles. This means that when a request is made to delete data, it is

  targeted at the personal data associated with an individual's profile in the Salesforce system. The consultant should inform the customer that the requests must be specific to individual profiles to ensure accurate processing and compliance

  with privacy laws.

  Data deletion requests submitted to Data Cloud are passed to all connected Salesforce clouds (Answer D): When a data deletion request is made through the Consent API in Salesforce Data Cloud, the request is not limited to the Data Cloud

  alone. Instead, it propagates through all connected Salesforce clouds, such as Sales Cloud, Service Cloud, Marketing Cloud, etc. This ensures comprehensive compliance with the right to be forgotten across the entire Salesforce ecosystem.

  The customer should be aware that the deletion request will affect all instances of the individual's data across the connected Salesforce environments.